Example #1
0
 def setUp(self):
     filename = os.path.join(BASE_DATA_PATH,'completeness_test_cat.csv')
     parser0 = CsvCatalogueParser(filename)
     self.catalogue = parser0.read_file()
     self.config = {'b-value': 1.0,
                    'sigma-b': 0.05,
                    'input_mmin': 5.0,
                    'input_mmax': None,
                    'input_mmax_uncertainty': None,
                    'tolerance': 0.001,
                    'maximum_iterations': 1000}
     self.model = KijkoSellevolBayes()
Example #2
0
mmax, mmax_sigma = mmax_ks.get_mmax(catalogue, mmax_config)

print 'Mmax = %8.3f +/- %8.3f' % (mmax, mmax_sigma)

# In[ ]:

mmax_config = {
    'b-value': 1.0,
    'sigma-b': 0.05,
    'input_mmin': 4.5,
    'input_mmax': None,
    'input_mmax_uncertainty': 0.5
}

mmax_ksb = KijkoSellevolBayes()

mmax, mmax_sigma = mmax_ksb.get_mmax(catalogue, mmax_config)

print 'Mmax = %8.3f +/- %8.3f' % (mmax, mmax_sigma)

# In[ ]:

mmax_config = {
    'number_earthquakes':
    100,  # Selects the N largest earthquakes in the catalogue for analysis
    'input_mmax': None,
    'input_mmax_uncertainty': 0.5
}

mmax_knpg = KijkoNonParametricGaussian()